{"id":"W2044413444","doi":"10.1080/02726340500214886","title":"Analysis and Reduction of Electromagnetic Field Leakage through Loaded Apertures: A Numerical Study","year":2005,"lang":"en","type":"article","venue":"Electromagnetics","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resistive touchscreen; Finite-difference time-domain method; Electromagnetic field; Leakage (economics); Aperture (computer memory); Reduction (mathematics); Transmission line; Acoustics; Electromagnetic compatibility; Near and far field; Optics; Computer science; Physics; Electronic engineering; Mathematics; Telecommunications; Engineering; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001871171,0.0002880597,0.0004943915,0.0002220665,0.00007461759,0.00003327417,0.0002036838,0.000119342,0.0002501977],"category_scores_gemma":[0.00006759501,0.0003019854,0.0001258656,0.001130637,0.00005100516,0.0001183932,0.00003073494,0.0003498427,0.000006150171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000761464,"about_ca_system_score_gemma":0.00003080921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007770365,"about_ca_topic_score_gemma":0.0001102501,"domain_scores_codex":[0.9980767,0.00009987981,0.0005187944,0.0003805484,0.0003923422,0.0005316987],"domain_scores_gemma":[0.9991879,0.00010622,0.00006789993,0.000460424,0.00007751193,0.0001000742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001170172,0.0009150797,0.003212906,0.00009905985,0.000919794,0.000005171304,0.002200794,0.001939629,0.9486661,0.0001115292,0.000791036,0.04102188],"study_design_scores_gemma":[0.004485248,0.03268718,0.1238594,0.00004857749,0.004782615,0.0001229912,0.0005822014,0.07754619,0.7505119,0.0009695802,0.00263179,0.001772238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990169,0.003470112,0.003520886,0.0002092226,0.00006390124,0.0004818614,0.000002000244,0.0001996914,0.001883286],"genre_scores_gemma":[0.996104,0.0001711833,0.0032541,0.00007105689,0.0001021046,0.00003378222,0.000007096998,0.00003198024,0.000224723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1981541,"threshold_uncertainty_score":0.9999432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009732063858634607,"score_gpt":0.2305465297216023,"score_spread":0.2208144658629677,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}